Hai

YANG

楊海

DEng, Kyoto University

Research Projects

A Multi-Class Model for Urban Taxi Services with Congestion - Hai Yang 

An Integrated Planning Methodology for Win-Win Public Transit Services - Hong K. LO, W.H.K. Lam and Hai YANG 

Designing and Tolling Private Roads: a Network Equilibrium Approach - Hai Yang 

Modeling and Evaluating joint Implementation of Road Pricing and Route Guidance Systems - Hai Yang and W.H.K. Lam 

Reliability Analysis and Optimal Design of Road Networks - Hai Yang and Wilson H. Tang 

Trans-Modal Integrated Transport Pricing - Hai Yang

Selected Publications

Ke, J., Yang H., Zheng, Z., 2020. On ride-pooling and traffic congestion. Transportation Research Part B: Methodological (in press).

Jian, S., Liu, W. *, Wang, X.*, Yang, H., Waller, T.*, 2020. On integrating carsharing and parking sharing services. Transportation Research Part B: Methodological, Vol.142, 19-44.

Ye, H. , Xiao, F.*, Yang, H., 2020. Day-to-day dynamics with advanced traveler information. Transportation Research Part B: Methodological (in press). 

Ke, J., Yang, H., Li, X., Wang, H.*, Ye, J.*, 2020.  Pricing and matching frictions in an on-demand ride-pooling market. Transportation Research Part B: Methodological, Vol.139, 411–431.

Ke, J., Xiao, F.*, Yang, H., Ye, J.*, 2020. Learning to delay in ride-sourcing systems: a multi-agent deep reinforcement learning framework. IEEE Transactions on Knowledge and Data Engineering (in press).

Chen, X.*, Zheng, H.*, Ke, J., Yang, H., 2020. Dynamic optimization strategies for on-demand ride services platform: surge pricing, commission rate, and incentives. Transportation Research Part B: Methodological, Vol.138, 23-45.

Li, Z.*, Huang, H.J.*, Yang, H., 2020. Fifty years of the bottleneck model: A bibliometric review and future research directions. Transportation Research Part B: Methodological, Vol.139, 311–342.

Tang, Y., Jiang, Y.*, Yang, H., Nielsen, O.A.*, 2020. Modeling and optimizing a fare incentive strategy to manage queuing and crowding in mass transit systems: bilevel formulation, solution algorithm and Copenhagen case study. Transportation Research Part B: Methodological, Vol.138, 247-267.

Shao, S.*, Xu, X.S.*, Yang, H., Huang, G.Q.*, 2020. Parking reservation disturbances. Transportation Research Part B: Methodological, Vol.135, 83-97.

Zhang, F.*, Liu, W.*, Wang, X.*, Yang, H., 2020. Parking sharing problem with spatially distributed parking supplies, Transportation Research Part C: Emerging Technologies, Vol.117, 102676.

Xiao, H.*, Xu, M.*, Yang, H., 2020. Pricing strategies for shared parking management with double auction approach: differential price vs uniform price. Transportation Research Part E: Logistics and Transportation Review, Vol.136, 101899.

Xu, M.*, Yang, H., Wang, S.*, 2020. Mitigate the range anxiety: siting battery charging stations for electric vehicle drivers. Transportation Research Part C: Emerging Technologies, Vol. 114, 164-188.

Yang, H., Shao, C., Wang, H.*, Ye, J.*, 2020. Integrated reward scheme and surge pricing in a ride-sourcing market. Transportation Research Part B: Methodological, Vol.134, 126-142. 

Yao, M.*, Wang, D.*, Yang, H., 2020.  Modeling household housing and car ownership decisions: a group decision based time allocation Journal. Transportmetrica A: Transport Science, Vol.16, No.3, 409–438.

He, J.*, Yang, H., Tang, T.*, Huang, H.J.*, 2020. Optimal deployment of wireless charging lanes considering their adverse effect on road capacity. Transportation Research Part C: Emerging Technologies, Vol.111, 171-184.

Zhu, Z., Qin, X., Ke, J., Zheng, Z., Yang, H., 2020. Analysis of multi-modal commute behavior with feeding and competing ridesplitting services. Transportation Research Part A: Policy and Practice, Vol.132, 713-727.   

Yang, H., Qin, X., Ke, J., Ye, J.*, 2020. Optimizing matching time interval and matching radius in on-demand ride-sourcing markets. Transportation Research Part B: Methodological. Vol.131, 84-105.

Zhang, J., Yang, H., Lindsey, R.*, Li, X., 2020. Modeling and managing congested transit service with heterogeneous users under monopoly. Transportation Research Part B: Methodological, Vol.132, 249-266.

Wang, X.*, Liu, W.*, Yang, H., Wang, D.*, Ye, J.*, 2020. Customer behavioral modelling of order cancellation in coupled ride-sourcing and taxi markets. Transportation Research Part B: Methodological, Vol.132, 358-378.

Tang, Y., Yang, H., Wang, B.*, Huan, J.*, Bai, Y.*, 2020. A Pareto-improving and revenue-neutral scheme to manage mass transit congestion with heterogeneous commuters. Transportation Research Part C: Emerging Technologies, Vol.113, 245-259.

Zhu, Z., Li, X., Liu, W.*, Yang, H., 2019. Day-to-day evolution of departure time choice in stochastic capacity bottleneck models with bounded rationality and various information perceptions. Transportation Research Part E: Logistics and Transportation Review, Vol.131, 168-192.

Zhu, Z., Zhu, S.*, Zheng, Z., Yang, H., 2019. A generalized Bayesian traffic model. Transportation Research Part C: Emerging Technologies, Vol.108, 182-206. 

Zhou, Y.*, Wang, Y.*, Yang, H., Yan, X.*, 2019. Last train scheduling for maximizing passenger destination reachability in urban rail transit networks. Transportation Research Part B Methodological, Vol.129, 79–95.

Wang, H.*, Yang, H., 2019. E-hailing ride-sourcing systems: a framework and review. Transportation Research Part B: Methodological, Vol.129, 122-155.

Li, Z.C.*, Wu, Q.Y.*, Yang, H., 2019. A theory of auto ownership rationing. Transportation Research Part B: Methodological, Vol.127, 125–146.

Xiao, F.*, Shen, M.*, Xu, Z.*, Li, R.*, Yang, H., Yin, Y.*, 2019. Day-to-day flow dynamics for stochastic user equilibrium and a general Lyapunov function. Transportation Science, Vol.53, No.3, 683–694.

Guo, R.Y.*, Huang, H.J.*, Yang, H., 2019. Tradable credit scheme for control of evolutionary traffic flows to system optimum: model and its convergence. Networks and Spatial Economics, Vol.19, No.3, 833–868.

Zhou, Y.*, Wang, J.W.*, Yang, H., 2019. Resilience of transportation systems: concepts and comprehensive review. IEEE Transactions on Intelligent Transportation Systems. Vol.20, No.12, 4262-4276.

Ke, J., Yang, H., Zheng, H.*, Chen, X.*, Jia, Y.*, Gong, P.*, Ye, J.*, 2019. Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services. IEEE Transactions on Intelligent Transport Systems, Vol.20, No.11, 4160-4173. 

Chen, X.*, Ke, J., Zhang, S.*, Yang, H., 2019.  PCA based missing information imputation for real-time crash likelihood prediction under imbalanced data. Transportmetrica A: Transport Science, Vol.15, No.2, 872–895.

Ke, J., Cen, X., Yang, H., Chen, X.*, Ye, J.*, 2019. Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles. Transportation Research Part E: Logistics and Transportation Review, Vol.125, 160-180.

Wang, X.L.*, Yang, H., Zhu, D.*, 2018. Driver-rider cost sharing strategies and equilibrium in a ridesharing program. Transportation Science, Vol.52, No.4, 868–881. 

Guo, R.Y.*, Yang, H., Huang, H.J.*, Li, X., 2018. Day-to-day departure time choice under bounded rationality in the bottleneck model. Transportation Research Part B: Methodological, Vol.117, 832-849. 

Ye, H., Xiao, F.*, Yang, H., 2018. Exploration of day-to-day route choice models by a virtual experiment. Transportation Research Part C: Emerging Technologies, Vol.94, 220-235.

Zhang, J., Lindsey, R.*, Yang, H., 2018. Public transit service frequency and fares with heterogeneous users under monopoly and alternative regulatory policies. Transportation Research Part B: Methodological, Vol.117, 190–208.   

Zhang, F., Zheng, N.*, Yang, H., Geroliminis, N.*, 2018. A systematic analysis of multimodal transport systems with road space distribution and responsive bus service. Transportation Research Part C, Emerging Technologies, Vol.96, 208-230.

Yang, H., Ke, J., Ye, J.*, 2018. A universal distribution law of network detour ratios. Transportation Research Part C: Emerging Technologies, Vol.96, 22-37.

Xu, G.*, Yang, H., Liu, W.*, Shi, F.*, 2018. Itinerary choice and advance ticket booking for high-speed-railway network services. Transportation Research Part C: Emerging Technologies, Vol.95, 82-104.

Xu, G.*, Liu, W.*, Yang, H., 2018. A reliability-based assignment method for railway networks with heterogeneous passengers. Transportation Research Part C: Emerging Technologies, Vol.93, 501-524.

Guo, R.Y.*, Yang, H., Huang, H.J.*, 2018. Are we really solving the dynamic traffic equilibrium problem with a departure time choice? Transportation Science, Vol.52, No.3, 603-620.

He, J.*, Yang, H., Tang, T.Q.*, Huang, H.J.*, 2018. Impacts of wireless charging lanes on travel time and energy consumption in a two-lane road system. Physica A: Statistical Mechanics and its Applications, Vol.500, 1-10.

Li, X., Liu, W.*, Yang, H., 2018. Traffic dynamics in a bi-modal transportation network with information provision and adaptive transit services. Transportation Research Part C: Emerging Technologies, Vol.91, 77-98,

Tang, Y., Yang, H., 2018. Managing rail transit peak-hour congestion with fare-reward schemes. Transportation Research Part B: Methodological, Vol.110, 122–136.

He, J.*, Yang, H., Tang, T.Q.*, Huang, H.J.*, 2018. An optimal charging station location model with the consideration of electric vehicle’s driving range. Transportation Research Part C: Emerging Technologies, Vol.86, 641-654.

Ke, J., Zheng, H.*, Yang, H., Chen, X.*, 2017. Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach. Transportation Research Part C: Emerging Technologies, Vol.85, 591-608. 

Liu, W.*, Li, X., Zhang, F.*, Yang, H. (2017) Interactive travel choices and traffic forecast in a doubly dynamical system with user inertia and information provision. Transportation Research Part C: Emerging Technologies, Vol.85, 711-731.

Yao, M.*, Wang, D.*, Yang, H., 2017. A game-theoretic model of car ownership and household time allocation. Transportation Research Part B: Methodological, Vol.104, 667-685.

Zhang, F.*, Liu, W.*, Wang, X.L.*, Yang, H., 2017. A new look at the morning commute with household shared-ride: How does school location play a role? Transportation Research Part E: Logistics and Transportation Review, Vol.103, 198–217.

Ye, H., Yang, H., 2017. Rational behavior adjustment process with boundedly rational user equilibrium. Transportation Science, Vol.51, No.3, 968-980.

Xu, H.*, Yang, H., Zhou, J.*, Yin, Y.*, 2017. A route choice model with context-dependent value of time. Transportation Science, Vol.51, No. 2, 536–548.

Di, X.*, Liu, H.X.*, Ban, X.J.*, Yang, H., 2017. Ridesharing user equilibrium and its implications for high-occupancy toll lane pricing. Journal of the Transportation Research Board, Transportation Research Record, 2667, 39-50.

Zhang, X.*, Chan, F.T.S.*, Yang, H., Deng, Y.*, 2017. An adaptive amoeba algorithm for shortest path tree computation in dynamic graphs. Information Sciences, Vol.405, 123–140.

He, J.*, Huang, H.J.*, Yang, H., Tang, T.Q.*, 2017. An electric vehicle driving behavior model in the traffic system with a wireless charging lane. Physica A: Statistical Mechanics and its Applications, Vol.481, 119–126.

Bao, Y.*, Gao, Z.*, Yang, H., Xu, M.*, Wang, G.*, 2017. Private financing and mobility management of road network with tradable credits. Transportation Research Part A: Policy and Practice, Vol.97, 158-176.          

Liu, W.*, Zhang, F., Yang, H., 2017. Modeling and managing morning commute with both household and individual travels. Transportation Research Part B: Methodological, Vol.103, 227-247.

Zhang, X.*, Chan, T.S.*, Adamatzky, A.*, Mahadevan, S.*, Yang, H., Zhang, Z.*, Deng, Y.*, 2017. An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition. International Journal of Production Research,  Vol.55, No.1, 244-263.

Xu, S.X.*, Cheng, M.*, Kong, X.*, Yang, H., Huang, G.Q.*, 2016. Private parking slot sharing. Transportation Research Part B: Methodological, Vol.93, 596–617.

Shao, C., Yang, H., Zhang, Y.*, Ke, J., 2016. A simple reservation and allocation model of shared parking lots. Transportation Research Part C: Emerging Technologies, Vol.71, 303-312.

Zhang, X.*, Adamatzky, A.*, Yang, X.S.*, Yang, H., Mahadevan, S.*, Deng, Y.*, 2016. A Physarum-inspired approach to supply chain network design. Science China Information Sciences Vol.59 (5), article number 052203.

Zha, L.*, Yin, Y.*, Yang, H., 2016. Economic analysis of ride-sourcing markets. Transportation Research Part C: Emerging Technologies, Vol.71, 249–266.

Wang, X.*, He, F.*, Yang, H., Gao, H.O.*,  2016. Pricing strategies for a taxi-hailing platform. Transportation Research Part E: Logistics and Transportation Review, Vol.93, 212–231.

Guo, R.Y.*, Yang, H., Huang H.J.*, Tan, Z.J., 2016.  Day-to-day flow dynamics and congestion control. Transportation Science, Vol.50(3), 982-997.

Li, X., Yang, H., 2016. Dynamics of modal choice of heterogeneous travelers with responsive transit services. Transportation Research Part C: Emerging Technologies, 68, 333-349.

Tan, Z., Yang, H., Tan, W.*, Li, Z.*, 2016. Pareto-improving transportation network design and ownership regimes. Transportation Research Part B: Methodological, Vol.91, 292-309.

Wu, Y.*, Yang, H., Tang, J.*, Yu, Y.*, 2016. Multi-objective re-synchronizing of bus timetable: model, complexity and solution. Transportation Research Part C: Emerging Technologies, Vol.67, 149–168.

Zhang, F., Lindsey, R.*, Yang, H., 2016. The Downs–Thomson paradox with imperfect mode substitutes and alternative transit administration regimes. Transportation Research Part B: Methodological, Vol. 86,104-127.

Xiao, F.*, Yang, H., Ye, H., 2016. Physics of day-to-day network flow dynamics. Transportation Research Part B: Methodological, Vol.86, 86-103.

Liu, W., Zhang, F., Yang, H., 2016. Managing morning commute with parking space constraints in the case of a bi-modal many-to-one network. Transportmetrica A: Transport Science, Vol.12, No.2, 116-141.

Tan, Z.J., Yang, H., Guo, R.Y.*, 2015. Dynamic congestion pricing with day-to-day flow evolution and user heterogeneity. Transportation Research Part C: Emerging Technologies, Vol.61, 87–105.

Wang, X.L., Ye, H., Yang, H., 2015. Decentralizing Pareto-efficient network flow / speed patterns with hybrid schemes of speed limit and road pricing. Transportation Research Part E: Logistics and Transportation Review, Vol.83, 51–64.

Ye, H., Yang, H., Tan, Z.J., 2015. Learning marginal-cost pricing via a trial-and-error procedure with day-to-day flow dynamics. Transportation Research Part B: Methodological, Vol.81, 794-807.

Xu, X.*, Chen, A.*, Kitthamkesorn, S.*, Yang, H., Lo, H.K., 2015. Modeling absolute and relative cost differences in stochastic user equilibrium problem. Transportation Research Part B: Methodological, Vol.81, 686-703.

Liu, W., Yin, Y.*, Yang, H., 2015. Effectiveness of variable speed limits considering commuters’ long term response. Transportation Research Part B: Methodological, Vol.81, 498–519.

Ouyang, Y.*, Wang, Z.*, Yang, H., 2015. Facility location design under continuous traffic equilibrium. Transportation Research Part B: Methodological, Vol.81, 18–33.

Zhu, D.L.*, Yang, H., Li, C.M.*, Wang, X.L., 2015. Properties of the multiclass traffic network equilibria under a tradable credit scheme. Transportation Science, Vol.49, No.3, 519-534.

Liu, W., Yang, H., Yin, Y. *,  2015. Efficiency of a highway use reservation system for morning commute. Transportation Research Part C: Emerging Technologies, Vol.56, 293–308.

Zhang, X.*, Adamatzky, A.*, Chan, T.S.*, Deng, Y.*, Yang, H., Yang, X.S.*, Tsompanas, M.A.*, Sirakoulis, G.C.*, and Mahadevan, S.*, 2015. A biologically inspired network design model. Scientific Reports 5, Article number: 10794, Nature Publishing Group.

Zhang, J., Yang, H., 2015. Modeling route choice inertia in network equilibrium with heterogeneous prevailing choice sets. Transportation Research Part C: Emerging Technologies, Vol.57, 42–54.

Bao, Y.*, Gao, Z.*, Xu, M.*, Sun, H.*, Yang, H., 2015. Travel mental budgeting under road toll: An investigation based on user equilibrium.  Transportation Research Part A: Policy and Practice, Vol.73, 1–17.

Tan, Z., Li, W.*, Zhang, X.L.*, Yang, H., 2015. Service charge and capacity selection of an inland river port with location-dependent shipping cost and service congestion. Transportation Research Part E: Logistics and Transportation Review, Vol.76, 13–33.

Yang, H., Ye, H., Li, X., Zhao, B., 2015.  Speed limits, speed selection and network equilibrium. Transportation Research Part C: Emerging Technologies, Vol.51, 260–273.

Zhou, B.J.*, Bliemer, M.*, Yang, H., He, J.*, 2015. A trial-and-error congestion pricing scheme for networks with elastic demand and link capacity constraints. Transportation Research Part B: Methodological, Vol.72, 77-92.

Guo, R.Y.*, Yang, H., Huang, H.J.*, Tan, Z.J., 2015. Link-based day-to-day network traffic dynamics and equilibria. Transportation Research Part B: Methodological, Vol.71, 248–260.